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Multi-Evidence Accumulation Decision Framework: Understanding Human Lane-change Behavior Mechanistic through a Cognitively Inspired Safety–Efficiency Approach
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The multidimensional driving style inventory—scale construct and validation
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A Microscopic Traffic Simulator for evaluation of dynamic traffic management systems
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Testing the drift-diffusion model
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A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
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Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios
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Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
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A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles
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Dynamic Conditional Imitation Learning for Autonomous Driving
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Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving
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Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
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Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge Scenarios
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The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
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Impact of Driver Behavior and Vehicle Type on Safety of Vehicle Platoon Under Lane Change Situation
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Multiregime Approach for Microscopic Traffic Simulation
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Modeling Integrated Lane-Changing Behavior
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General Lane-Changing Model MOBIL for Car-Following Models
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A Game Theory-Based Approach for Modeling Autonomous Vehicle Behavior in Congested, Urban Lane-Changing Scenarios
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A Survey of Maximum Entropy-Based Inverse Reinforcement Learning: Methods and Applications
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